Ioannis Kontoyiannis

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Sean MeynProfessor of ECE and Robert C. Pittman Eminent Scholar ChairVerified email at ece.ufl.edu
Mokshay MadimanUniversity of DelawareVerified email at udel.edu
Oliver JohnsonProfessor of Information Theory, School of Mathematics, University of Bristol, UKVerified email at bristol.ac.uk
Ioannis PapageorgiouVerified email at polsci.auth.gr
Vittorio CastelliAmazon Web ServicesVerified email at alumni.stanford.edu
Peter HarremoesLektor i matematik, Niels BrockVerified email at niels.brock.dk
Lampros GavalakisUniversity of CambridgeVerified email at cam.ac.uk
amir demboprofessor of mathematics and statistics, stanford universityVerified email at stat.stanford.edu
Sergio Verduinformationtheory.orgVerified email at informationtheory.org
Petros DellaportasUniversity College London and Athens University of Economics and BusinessVerified email at ucl.ac.uk
Simon GodsillUniversity of CambridgeVerified email at eng.cam.ac.uk
Chung-Sheng LiTaiwan Semiconductor Manufacturing Company LimitedVerified email at ieee.org
Marina RiabizKing's College LondonVerified email at kcl.ac.uk
Matthew T HarrisonAssociate Professor of Applied Mathematics, Brown UniversityVerified email at brown.edu
Abraham WynerProfessor of Statistics, University of PennsylvaniaVerified email at wharton.upenn.edu
Junshan ZhangElectrical and Computer Engineering, UC Davis (Google Scholar not updated since 2020)Verified email at ucdavis.edu
Adithya M DevrajAmazonVerified email at stanford.edu
Stavros ToumpisAthens University of Economics and BusinessVerified email at aueb.gr
Wojciech SzpankowskiPurdue UniversityVerified email at purdue.edu
Luis LastrasIBM TJ WatsonVerified email at us.ibm.com

Ioannis Kontoyiannis

University of Cambridge

Verified email at cam.ac.uk - Homepage

Probability Information theory Statistics Mathematical biology


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Convergence properties of functional estimates for discrete distributions A Antos, I Kontoyiannis Random Structures & Algorithms 19 (3‐4), 163-193, 2001	319	2001
Spectral theory and limit theorems for geometrically ergodic Markov processes I Kontoyiannis, SP Meyn The Annals of Applied Probability 13 (1), 304-362, 2003	315	2003
Nonparametric entropy estimation for stationary processes and random fields, with applications to English text I Kontoyiannis, PH Algoet, YM Suhov, AJ Wyner IEEE Transactions on Information Theory 44 (3), 1319-1327, 1998	312	1998
Large deviations asymptotics and the spectral theory of multiplicatively regular Markov processes I Kontoyiannis, S Meyn	165	2005
Estimating the entropy of binary time series: Methodology, some theory and a simulation study Y Gao, I Kontoyiannis, E Bienenstock Entropy 10 (2), 71-99, 2008	158	2008
Optimal lossless data compression: Non-asymptotics and asymptotics I Kontoyiannis, S Verdú IEEE Transactions on Information Theory 60 (2), 777-795, 2013	126	2013
Geometric ergodicity and the spectral gap of non-reversible Markov chains I Kontoyiannis, SP Meyn Probability Theory and Related Fields 154 (1), 327-339, 2012	121	2012
Source coding, large deviations, and approximate pattern matching A Dembo, L Kontoyiannis IEEE Transactions on Information Theory 48 (6), 1590-1615, 2002	121	2002
Asymptotic recurrence and waiting times for stationary processes I Kontoyiannis Journal of Theoretical Probability 11 (3), 795-811, 1998	100	1998
Pointwise redundancy in lossy data compression and universal lossy data compression I Kontoyiannis IEEE Transactions on Information Theory 46 (1), 136-152, 2000	91	2000
Second-order noiseless source coding theorems I Kontoyiannis IEEE Transactions on Information Theory 43 (4), 1339-1341, 1997	85	1997
Entropy and the law of small numbers I Kontoyiannis, P Harremoës, O Johnson IEEE Transactions on information theory 51 (2), 466-472, 2005	84	2005
Sumset and inverse sumset inequalities for differential entropy and mutual information I Kontoyiannis, M Madiman IEEE transactions on information theory 60 (8), 4503-4514, 2014	77	2014
Control variates for estimation based on reversible Markov chain Monte Carlo samplers P Dellaportas, I Kontoyiannis Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2012	63	2012
Progressive search and retrieval in large image archives V Castelli, LD Bergman, I Kontoyiannis, CS Li, JT Robinson, JJ Turek IBM Journal of Research and Development 42 (2), 253-268, 1998	57	1998
An implementable lossy version of the Lempel-Ziv algorithm. I. Optimality for memoryless sources I Kontoyiannis IEEE Transactions on Information Theory 45 (7), 2293-2305, 1999	56	1999
Estimating the directed information and testing for causality I Kontoyiannis, M Skoularidou IEEE transactions on information theory 62 (11), 6053-6067, 2016	54	2016
Relative entropy and exponential deviation bounds for general Markov chains I Kontoyiannis, LA Lastras-Montano, SP Meyn Proceedings. International Symposium on Information Theory, 2005. ISIT 2005 …, 2005	54	2005
Log-concavity, ultra-log-concavity, and a maximum entropy property of discrete compound Poisson measures O Johnson, I Kontoyiannis, M Madiman Discrete Applied Mathematics 161 (9), 1232-1250, 2013	53	2013
Pre xes and the entropy rate for long-range sources I Kontoyiannis, YM Suhov, P Math, M Statistics Probability Statistics and Optimization, FP Kelly, ed. Chichester, England …, 1994	53	1994

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